€270 Million Pinned for RISC-V Based European HPC Ecosystem

Several years ago, anecdotal evidence led Hyperion Research to compile a list of applications that promised to be the most economically important HPC-enabled AI use cases. Rather than simply drawing attention as interesting one-off examples, these applications had emerged as repetitive AI workloads that vendors could begin to pursue as emerging market segments. Hyperion Research's recently completed multi-client study of the worldwide HPC market presented a direct opportunity to ask HPC user organizations whether they use or plan to use any of the economically important HPC-enabled AI applications.

Survey respondents cited GPUs as the most anticipated processing element within the next 12-18 months at a rate of 74%. When asked about which processing elements they expect to be incorporated into their HPC/AI/HPDA computing resources, the majority of respondents across all sectors expected GPUs to be first (74.0%) and TPUs (24.3%) as next most anticipated. Government and academia respondents reported the highest expectation at a rate of 84%. This data is from the eighth annual study of Hyperion Research's high-performance computing (HPC) end-user-based tracking of the HPC marketplace. It included 181 HPC end-user sites with 3,830 HPC systems.